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Proceedings Paper

Hyperspectral image compression based on the framework of DSC using 3D-wavelet and LDPC
Author(s): Jiaji Wu; Kun Jiang; Yong Fang; Licheng Jiao
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Paper Abstract

In this paper, we propose a method based on both 3D-wavelet transform and low-density parity-check codes to realize the compression of hyperspectral images on the framework of DSC (Distributed Source Coding). The new approach which combines DSC and 3D-wavelet transform technique makes it possible to realize low encoding complexity at the encoder and achieve efficient performance of hyperspectral image compression. The experimental results for hyperspectral image coding show that the new method can performs better than 3D-SPIHT and can outperform than 2D-SPIHT and JPEG2000.

Paper Details

Date Published: 31 August 2009
PDF: 9 pages
Proc. SPIE 7455, Satellite Data Compression, Communication, and Processing V, 745513 (31 August 2009); doi: 10.1117/12.825466
Show Author Affiliations
Jiaji Wu, Xidian Univ. (China)
Kun Jiang, Xidian Univ. (China)
Yong Fang, Northwest A&F Univ. (China)
Licheng Jiao, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 7455:
Satellite Data Compression, Communication, and Processing V
Bormin Huang; Antonio J. Plaza; Raffaele Vitulli, Editor(s)

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